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# Clinical Systems/EHR Quality Data Specialist

- **Company:** US Tech Solutions, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Health Informatics, Databases, Data Retrieval, Data Visualization, R (Programming Language), Healthcare Effectiveness Data and Information Set, SPSS (Software), Python (Programming Language), Power BI, SAS (Software), Tableau (Software), Electronic Medical Records, Data Analytics, Health Level Seven International, Data Pipelines
- **Published:** June 5, 2026
- **Apply:** https://www.juju.com/job/00000000g5diit

## About the Role

+ Experience with quality improvement methodologies preferred.

 + Strong analytical and problem-solving skills.

 + Proficiency in statistical software packages (e.g., SAS, R, SPSS, Python) and data visualization tools (e.g., Tableau, Power BI).

 + Knowledge of healthcare data standards and coding systems (e.g., ICD-10, CPT).

Desired Skills:

 + Experience extracting data from Athena.

 + Experience working cross functionally within a large organization.

 + Knowledge of quality standards, including NCQA, URAC and Joint Commission.

 + Prior knowledge or coding HEDIS and other healthcare industry metrics used to benchmark performance.

 + Quality improvement methodologies.

Education:

 + Bachelor's degree in health informatics, statistics, public health (with a concentration in biostatistics or epidemiology), or a related field.

 + Master's degree preferred. Minimum of 2 years of experience working with healthcare data in a clinical or analytical role.

## Description

+ This position is responsible for working with the care team to support the development of quality measures, code the technical specifications to operationalize the measures, and create the reporting and dashboards for the care team's needs., + Extract data from various sources, including electronic health records (EHRs), claims databases, registries, and other clinical systems and develop the data pipeline and architecture to efficiently use the data for quality metrics.

 + Utilize statistical software and data visualization tools to analyse clinical quality data.

 + Develop and track key performance indicators (KPIs) related to quality of care, patient safety, and clinical outcomes, and contribute to the development of data-driven recommendations for clinical practice improvement.

 + Prepare and automate reports, presentations, and dashboards to communicate findings to clinical staff, leadership, and other stakeholders.


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